Linear algebra
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Linear algebra
linear algebra functions
- Diagonal scaling to improve eigenvalue accuracy.
- Lower and upper matrix bandwidth.
- Cholesky factorization.
- Condition number for inversion.
- Condition number with respect to eigenvalues.
- Matrix determinant.
- Differences and approximate derivatives.
- Eigenvalues and eigenvectors.
- Computes the matrix exponential of a square matrix.
- Numerical gradient.
- Matrix inverse.
- Determine if matrix is within specific bandwidth.
- Computes if matrix is hermitian or skew-hermitian.
- Computes if matrix is symmetric.
- Kronecker tensor product.
- Computes the matrix logarithm of a square matrix.
- LU matrix factorization.
- Range space of a matrix.
- Givens plane rotation.
- Rank of matrix.
- Inverse condition number.
- Gauss-Jordan elimination.
- Convert real Schur form to complex Schur form.
- Schur decomposition.
- Computes the matrix square root of a square matrix.
- Angle between two subspaces.
- Singular Value Decomposition.
- Matrix trace.
- Vector-wise norm.